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Related Experiment Video

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Using virtual reality for anatomical landmark annotation in geometric morphometrics.

Dolores Messer1, Michael Atchapero2, Mark B Jensen1

  • 1Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kgs. Lyngby, Denmark.

Peerj
|February 21, 2022
PubMed
Summary
This summary is machine-generated.

Virtual reality (VR) offers a promising alternative for landmark annotation on 3D models. This study found VR annotation to be accurate and precise, comparable to desktop methods, enhancing geometric morphometrics.

Keywords:
3D annotationGeometric morphometricsHalichoerus grypusMeasurement errorStratovan checkpointVirtual morphologyVirtual reality

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Area of Science:

  • Biomedical Engineering
  • Computer Science
  • Anthropology

Background:

  • Geometric morphometrics relies on digital landmark data from 3D models.
  • Current 2D desktop annotation is tedious and error-prone due to interface limitations.
  • Virtual reality (VR) offers immersive 3D interaction, potentially improving annotation.

Purpose of the Study:

  • To evaluate the performance of a VR prototype for 3D landmark annotation.
  • To compare VR annotation accuracy and speed against traditional desktop software.
  • To investigate sources of measurement error in landmark placement.

Main Methods:

  • Developed a VR prototype for 3D landmark annotation.
  • Compared VR annotation to Stratovan Checkpoint (desktop software).
  • Four operators annotated six landmarks on six grey seal skulls across six trials for each system.

Main Results:

  • Annotation precision in VR was comparable to desktop methods.
  • VR demonstrated significantly higher precision for one specific landmark.
  • No significant difference in annotation speed was found between VR and desktop.

Conclusions:

  • VR annotation is a viable and accurate alternative for 3D geometric morphometrics.
  • VR shows potential for improving landmark data collection in scientific research.
  • Further development could optimize VR for faster annotation workflows.